Abstract

We propose a novel regularisation method
for Gaussian mixture networks, which
adopts a Bayesian approach and draws on
the evidence scheme to optimise the hyperparameters. This leads to a new, modifed
form of the EM algorithm, which is compared with the original scheme on three classifcation problems.